The document discusses challenges faced by IT teams in big data projects. It finds that 55% of big data projects are not completed due to inaccurate scoping, technical roadblocks, and siloed data. Only 6% of enterprises list big data as a top 10 IT priority. When it comes to analytics projects, the top reasons for failure are lack of expertise to connect insights and lack of business context. Real-time and batch analytics are both important. The most significant challenges for big data projects are finding the right tools and allocating time. IT teams believe data scientists, application developers, and business users can most impact revenue through increased access to enterprise data.